Despite their simple intuition, convolutions are more tedious to analyze...
Model reparametrization – transforming the parameter space via a bijecti...
Curvature in form of the Hessian or its generalized Gauss-Newton (GGN)
a...
When engineers train deep learning models, they are very much "flying bl...
Automatic differentiation frameworks are optimized for exactly one thing...
We propose a modular extension of the backpropagation algorithm for
comp...